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Research & Development
AI-Powered Strategies Boost Supermarket Profits and Cut Food Waste
TLDR: This research introduces a novel framework for fresh food supermarkets that combines an attention-enhanced Long Short-Term Memory (LSTM) model with Particle Swarm Optimization...
Research & Development
Federated Learning: A New Era for Secure and Efficient Smart Farming
TLDR: A new research paper proposes a federated learning framework for smart farming to enable secure, scalable, and efficient AI-driven crop disease detection, particularly...
Research & Development
Evaluating AI’s Role in Specialized Software Development at ASML: A Deep Dive into LLM Code Generation
TLDR: A study at ASML investigated the effectiveness of Large Language Models (LLMs) in generating functional and maintainable code for proprietary industrial settings. Researchers...
Research & Development
PromptSculptor: Automating Text-to-Image Prompt Refinement with a Multi-Agent System
TLDR: PromptSculptor is a novel multi-agent framework that automates the process of optimizing text-to-image prompts. It uses four specialized agents—Intent Inference, Scene and Style,...
Research & Development
AI-Powered Market Making: Navigating Non-Stationary Limit Order Books
TLDR: This research paper introduces a Reinforcement Learning (RL) agent for market making that operates within a sophisticated simulator designed to replicate the complex,...
Research & Development
Pre-trained Vision Models Enhance Robotic Generalization in Unforeseen Environments
TLDR: A new study demonstrates that pre-trained vision models (PVMs) significantly improve the generalization capabilities of model-based reinforcement learning (MBRL) agents, particularly when faced...